NITK uses machine learning to predict landslides in Western Ghats

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
IEEE

Improving KNN Algorithm Efficiency Based on PCA and KD-tree

Abstract: K-nearest neighbor (KNN) algorithm is a simple and widely used classification method in machine learning. This algorithm tries to search every object in the dataset to find the nearest ...
GitHub

didar00/Weighted-KNN-Algorithm-With-Inverse-Distance-Weighting-Method-Python

In weighted KNN algorithm, inverse distance weighting method has been used to determine the importance of the points in terms of distance. According to this method, the nearest neighbors' labels have ...
GitHub

Personalized Federated Learning through Local Memorization

This repository is the official implementation of Personalized Federated Learning through Local Memorization Federated learning allows clients to collaboratively learn statistical models while keeping ...
IEEE

Comparative analysis of machine learning KNN, SVM, and random forests algorithm for facial expression classification

Abstract: Human depicts their emotions through facial expression or their way of speech. In order to make this process possible for a machine, a training mechanism is needed to give machine the ...